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Evaluation of Twenty Genes in Prognosis of Patients with Ovarian Cancer Using Four Different Clustering Methods
BACKGROUND: Comparison of gene expression algorithms may be beneficial for obtaining disease pattern or grouping patients based on the gene expression profile. The current study aimed to investigate whether the knowledge within these data is able to group the ovarian cancer patients with similar dis...
Autores principales: | Pourahmad, Saeedeh, Foroozani, Somayeh, Nourelahi, Mehdi, Hosseini, Ahmad, Razmkhah, Mahboobeh |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
West Asia Organization for Cancer Prevention
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418829/ https://www.ncbi.nlm.nih.gov/pubmed/34181334 http://dx.doi.org/10.31557/APJCP.2021.22.6.1781 |
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